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An evaluation of the MOOD set of object-oriented software metrics

Harrison, R., Counsell, S.J., Nithi, R.V.·1998·IEEE Transactions on Software Engineering

Abstract

This paper describes the results of an investigation into a set of metrics for object-oriented design, called the MOOD metrics. The merits of each of the six MOOD metrics is discussed from a measurement theory viewpoint, taking into account the recognized object-oriented features which they were intended to measure: encapsulation, inheritance, coupling, and polymorphism. Empirical data, collected from three different application domains, is then analyzed using the MOOD metrics, to support this theoretical validation. Results show that (with appropriate changes to remove existing problematic discontinuities) the metrics could be used to provide an overall assessment of a software system, which may be helpful to managers of software development projects. However, further empirical studies are needed before these results can be generalized.

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Metadata

Authors
Harrison, R., Counsell, S. J., & Nithi, R. V.
Venue
IEEE Transactions on Software Engineering
Published
1998-06
Volume
24
Issue
6
Pages
491-496
ISSN
0098-5589 (ISSN-L)
OpenAlex
W2106615747
Cited by
359
References
0
FWCI
22.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An evaluation of the MOOD set of object-oriented software metrics. https://app.cochat.ai/papers/10.1109/32.689404
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Harrison, R., Counsell, S. J., & Nithi, R. V. (1998). An evaluation of the MOOD set of object-oriented software metrics. IEEE Transactions on Software Engineering. https://doi.org/10.1109/32.689404

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